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Saqr, Mohammed – British Journal of Educational Technology, 2023
Learning analytics is a fast-growing discipline. Institutions and countries alike are racing to harness the power of using data to support students, teachers and stakeholders. Research in the field has proven that predicting and supporting underachieving students is worthwhile. Nonetheless, challenges remain unresolved, for example, lack of…
Descriptors: Learning Analytics, Generalizability Theory, Models, Grades (Scholastic)
Maria Bolsinova; Jesper Tijmstra; Leslie Rutkowski; David Rutkowski – Journal of Educational and Behavioral Statistics, 2024
Profile analysis is one of the main tools for studying whether differential item functioning can be related to specific features of test items. While relevant, profile analysis in its current form has two restrictions that limit its usefulness in practice: It assumes that all test items have equal discrimination parameters, and it does not test…
Descriptors: Test Items, Item Analysis, Generalizability Theory, Achievement Tests
Jankowsky, Kristin; Schroeders, Ulrich – International Journal of Behavioral Development, 2022
Attrition in longitudinal studies is a major threat to the representativeness of the data and the generalizability of the findings. Typical approaches to address systematic nonresponse are either expensive and unsatisfactory (e.g., oversampling) or rely on the unrealistic assumption of data missing at random (e.g., multiple imputation). Thus,…
Descriptors: Artificial Intelligence, Man Machine Systems, Attrition (Research Studies), Longitudinal Studies
Sonja Kleter; Uwe Matzat; Rianne Conijn – IEEE Transactions on Learning Technologies, 2024
Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…
Descriptors: Prediction, Models, Academic Achievement, Learning Analytics
Zongozzi, J. N. – Open Learning, 2021
A conceptual confusion of "theory" exists in South African Open Distance and e-Learning (ODeL) research in which the concept is used with borderline, related, contrary, invented, or illegitimate concepts such as a model, approach, construct, hypothesis, theoretical framework, or conceptual framework. As a result, some researchers choose…
Descriptors: Foreign Countries, Educational Theories, Educational Research, Distance Education
Song, Juyeon; Gaspard, Hanna; Nagengast, Benjamin; Trautwein, Ulrich – Journal of Educational Psychology, 2020
Conscientiousness and interest are well-known predictors of academic effort and achievement. As hypothesized by the Conscientiousness × Interest Compensation (CONIC) model, conscientiousness and interest can (partly) compensate for each other, leading to (comparatively) high effort if either conscientiousness or interest is high. The present…
Descriptors: Personality Traits, Interests, Models, Prediction
Doleck, Tenzin; Bazelais, Paul; Lemay, David John – Knowledge Management & E-Learning, 2018
e-Learning acceptance has received considerable attention in the educational technology literature. In recent years, many frameworks have been proposed, modified, and applied to better understand the factors underlying students' acceptance of e-learning. Despite the important progress made with the acceptance literature, extant empirical…
Descriptors: Electronic Learning, Computer Attitudes, Adoption (Ideas), Generalizability Theory
Wassie, Liya; Gebre-Mariam, Senkenesh; Tarekegne, Geremew; Rennie, Stuart – Research Ethics, 2019
Background: Africa is increasingly becoming an important region for health research, mainly due to its heavy burden of disease, socioeconomic challenges, and inadequate health facilities. Regulatory capacities, in terms of ethical review processes, are also generally weak. The ethical assessment of social and behavioral research is relatively…
Descriptors: Foreign Countries, Ethics, Social Science Research, Behavioral Science Research
Zaidi, Nikki L.; Swoboda, Christopher M.; Kelcey, Benjamin M.; Manuel, R. Stephen – Advances in Health Sciences Education, 2017
The extant literature has largely ignored a potentially significant source of variance in multiple mini-interview (MMI) scores by "hiding" the variance attributable to the sample of attributes used on an evaluation form. This potential source of hidden variance can be defined as rating items, which typically comprise an MMI evaluation…
Descriptors: Interviews, Scores, Generalizability Theory, Monte Carlo Methods
Möller, Jens; Müller-Kalthoff, Hanno; Helm, Friederike; Nagy, Nicole; Marsh, Herb W. – Frontline Learning Research, 2016
The dimensional comparison theory (DCT) focuses on the effects of internal, dimensional comparisons (e.g., "How good am I in math compared to English?") on academic self-concepts with widespread consequences for students' self-evaluation, motivation, and behavioral choices. DCT is based on the internal/external frame of reference model…
Descriptors: Comparative Analysis, Comparative Testing, Self Concept, Self Concept Measures
Hagger, Martin S.; Chatzisarantis, Nikos L. D. – Review of Educational Research, 2016
The trans-contextual model outlines the processes by which autonomous motivation toward activities in a physical education context predicts autonomous motivation toward physical activity outside of school, and beliefs about, intentions toward, and actual engagement in, out-of-school physical activity. In the present article, we clarify the…
Descriptors: Physical Education, Physical Activities, Student Motivation, Models
Choosing the Optimal Number of Factors in Exploratory Factor Analysis: A Model Selection Perspective
Preacher, Kristopher J.; Zhang, Guangjian; Kim, Cheongtag; Mels, Gerhard – Multivariate Behavioral Research, 2013
A central problem in the application of exploratory factor analysis is deciding how many factors to retain ("m"). Although this is inherently a model selection problem, a model selection perspective is rarely adopted for this task. We suggest that Cudeck and Henly's (1991) framework can be applied to guide the selection process.…
Descriptors: Factor Analysis, Models, Selection, Goodness of Fit
Sebok, Stefanie S.; Luu, King; Klinger, Don A. – Advances in Health Sciences Education, 2014
The multiple mini-interview (MMI) has become an increasingly popular admissions method for selecting prospective students into professional programs (e.g., medical school). The MMI uses a series of short, labour intensive simulation stations and scenario interviews to more effectively assess applicants' non-cognitive qualities such as…
Descriptors: Medical Education, Medical Students, College Admission, Generalizability Theory
Snyder, Patricia A.; Hemmeter, Mary Louise; Fox, Lise; Bishop, Crystal Crowe; Miller, M. David – Grantee Submission, 2013
Fidelity assessment has received renewed attention in recent years, particularly as distinctions have been made in implementation science between intervention fidelity and implementation fidelity. Considering both types of fidelity has been recommended when developing fidelity instruments. In the present article, we describe development of the…
Descriptors: Fidelity, Generalizability Theory, Intervention, Models
Snyder, Patricia A.; Hemmeter, Mary Louise; Fox, Lise; Bishop, Crystal Crowe; Miller, M. David – Journal of Early Intervention, 2013
Fidelity assessment has received renewed attention in recent years, particularly as distinctions have been made in implementation science between intervention fidelity and implementation fidelity. Considering both types of fidelity has been recommended when developing fidelity instruments. In the present article, we describe development of the…
Descriptors: Fidelity, Psychometrics, Rating Scales, Program Implementation